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In failure-driven harness optimization, how are postmortem findings applied to prevent future agent execution failures without retraining or modifying underlying model weights?
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Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor
Ch.3 State Persistence and Continuous Optimization - Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor
Failure-Driven Harness Optimization and Procedural Memory - Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor
Related
Which entities are responsible for proposing targeted modifications to runtime controls after an execution failure?
True or False: Proposed harness modifications take effect immediately in production without requiring review or regression testing against existing tasks.
In failure-driven harness optimization, how are postmortem findings applied to prevent future agent execution failures without retraining or modifying underlying model weights?
Golden Rules for Harness Profile Development
Control Drift in Multi-Task Harness Optimization
Multi-Task Harness Abstraction via Hyper-Agent